Rui Faria

Dr. Rui Faria


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2017 in Journal of Evolutionary Biology
Verified
Journal Article
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MRMark Ravinet
Mark Ravinet
RFRui Faria
Rui Faria
RBR. K. Butlin
R. K. Butlin
JGJ. Galindo
J. Galindo
NBN. Bierne
N. Bierne
AWAnja Marie Westram
Anja Marie Westram
Speciation, the evolution of reproductive isolation among populations, is continuous, complex, and involves multiple, interacting barriers. Until it is complete, the effects of this process vary along the genome and can lead to a heterogeneous genomic landscape with peaks and troughs of differentiation and divergence. When gene flow occurs during speciation, barriers restricting gene flow locally in the genome lead to patterns of heterogeneity. However, genomic heterogeneity can also be produced or modified by variation in factors such as background selection and selective sweeps, recombination and mutation rate variation, and heterogeneous gene density. Extracting the effects of gene flow, divergent selection and reproductive isolation from such modifying factors presents a major challenge to speciation genomics. We argue one of the principal aims of the field is to identify the barrier loci involved in limiting gene flow. We first summarize the expected signatures of selection at barrier loci, at the genomic regions linked to them and across the entire genome. We then discuss the modifying factors that complicate the interpretation of the observed genomic landscape. Finally, we end with a road map for future speciation research: a proposal for how to account for these modifying factors and to progress towards understanding the nature of barrier loci. Despite the difficulties of interpreting empirical data, we argue that the availability of promising technical and analytical methods will shed further light on the important roles that gene flow and divergent selection have in shaping the genomic landscape of speciation.

26 January 2011 in Nature
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Journal Article
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DLDevin P. Locke
Devin P. Locke
LHLaDeana W. Hillier
LaDeana W. Hillier
WWWesley C. Warren
Wesley C. Warren
KWKim C. Worley
Kim C. Worley
LNLynne V. Nazareth
Lynne V. Nazareth
RWRichard K. Wilson
Richard K. Wilson
The genome of the Southeast Asian great ape or orang-utan has been sequenced — specifically a draft assembly of a Sumatran female individual and short-read sequence data from five further Sumatran and five Bornean orang-utan, Pongo abelii and Pongo pygmaeus, respectively. Orang-utan species appear to have split around 400,000 years ago, more recent than most previous estimates suggested, resulting in an average Bornean–Sumatran nucleotide identity of 99.68%. Structural evolution of the orang-utan genome seems to have proceeded much more slowly than that of other great apes, including chimpanzees and humans. With both orang-utan species on the endangered list, the authors hope that knowledge of the genome sequence and its variation between populations will provide a valuable resource for conservationists. The genome of the southeast Asian orang-utan has been sequenced. The draft assembly of a Sumatran individual alongside sequence data from five Sumatran and five Bornean orang-utan genomes is presented. The resources and analyses described offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts. ‘Orang-utan’ is derived from a Malay term meaning ‘man of the forest’ and aptly describes the southeast Asian great apes native to Sumatra and Borneo. The orang-utan species, Pongo abelii (Sumatran) and Pongo pygmaeus (Bornean), are the most phylogenetically distant great apes from humans, thereby providing an informative perspective on hominid evolution. Here we present a Sumatran orang-utan draft genome assembly and short read sequence data from five Sumatran and five Bornean orang-utan genomes. Our analyses reveal that, compared to other primates, the orang-utan genome has many unique features. Structural evolution of the orang-utan genome has proceeded much more slowly than other great apes, evidenced by fewer rearrangements, less segmental duplication, a lower rate of gene family turnover and surprisingly quiescent Alu repeats, which have played a major role in restructuring other primate genomes. We also describe a primate polymorphic neocentromere, found in both Pongo species, emphasizing the gradual evolution of orang-utan genome structure. Orang-utans have extremely low energy usage for a eutherian mammal1, far lower than their hominid relatives. Adding their genome to the repertoire of sequenced primates illuminates new signals of positive selection in several pathways including glycolipid metabolism. From the population perspective, both Pongo species are deeply diverse; however, Sumatran individuals possess greater diversity than their Bornean counterparts, and more species-specific variation. Our estimate of Bornean/Sumatran speciation time, 400,000 years ago, is more recent than most previous studies and underscores the complexity of the orang-utan speciation process. Despite a smaller modern census population size, the Sumatran effective population size (Ne) expanded exponentially relative to the ancestral Ne after the split, while Bornean Ne declined over the same period. Overall, the resources and analyses presented here offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts.

1 November 2010 in Trends in Ecology & Evolution
Verified
Journal Article
Closed access
RFRui Faria
Rui Faria
ANArcadi Navarro
Arcadi Navarro

1 March 2019 in Trends in Ecology & Evolution
Verified
Journal Article
Open access
RFRui Faria
Rui Faria
KJKerstin Johannesson
Kerstin Johannesson
RBRoger K. Butlin
Roger K. Butlin
AWAnja Marie Westram
Anja Marie Westram
Empirical data suggest that inversions in many species contain genes important for intraspecific divergence and speciation, yet mechanisms of evolution remain unclear. While genes inside an inversion are tightly linked, inversions are not static but evolve separately from the rest of the genome by new mutations, recombination within arrangements, and gene flux between arrangements. Inversion polymorphisms are maintained by different processes, for example, divergent or balancing selection, or a mix of multiple processes. Moreover, the relative roles of selection, drift, mutation, and recombination will change over the lifetime of an inversion and within its area of distribution. We believe inversions are central to the evolution of many species, but we need many more data and new models to understand the complex mechanisms involved.

1 December 2023 in Journal of Evolutionary Biology
Verified
Journal Article
Open access
EBEmma L. Berdan
Emma L. Berdan
NBNicholas H. Barton
Nicholas H. Barton
RBRoger Butlin
Roger Butlin
BCBrian Charlesworth
Brian Charlesworth
RFRui Faria
Rui Faria
TFThomas Flatt
Thomas Flatt
Inversions are structural mutations that reverse the sequence of a chromosome segment and reduce the effective rate of recombination in the heterozygous state. They play a major role in adaptation, as well as in other evolutionary processes such as speciation. Although inversions have been studied since the 1920s, they remain difficult to investigate because the reduced recombination conferred by them strengthens the effects of drift and hitchhiking, which in turn can obscure signatures of selection. Nonetheless, numerous inversions have been found to be under selection. Given recent advances in population genetic theory and empirical study, here we review how different mechanisms of selection affect the evolution of inversions. A key difference between inversions and other mutations, such as single nucleotide variants, is that the fitness of an inversion may be affected by a larger number of frequently interacting processes. This considerably complicates the analysis of the causes underlying the evolution of inversions. We discuss the extent to which these mechanisms can be disentangled, and by which approach.AbstractInversions often play key roles in adaptation and speciation, but the processes that direct their evolution are obscured by the characteristic that makes them so unique (reduced recombination between arrangements). In this review, we examine how different mechanisms can impact inversion evolution, weaving together both theoretical and empirical studies. We emphasize that most patterns are overdetermined (i.e. can be caused by multiple processes), but we highlight new technologies that provide a path forward towards disentangling these mechanisms.

1 August 2018 in Evolution Letters
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Journal Article
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AWAnja Marie Westram
Anja Marie Westram
MRMarina Rafajlović
Marina Rafajlović
PCPragya Chaube
Pragya Chaube
RFRui Faria
Rui Faria
TLTomas Larsson
Tomas Larsson
RBRoger Butlin
Roger Butlin
Adaptive divergence and speciation may happen despite opposition by gene flow. Identifying the genomic basis underlying divergence with gene flow is a major task in evolutionary genomics. Most approaches (e.g., outlier scans) focus on genomic regions of high differentiation. However, not all genomic architectures potentially underlying divergence are expected to show extreme differentiation. Here, we develop an approach that combines hybrid zone analysis (i.e., focuses on spatial patterns of allele frequency change) with system‐specific simulations to identify loci inconsistent with neutral evolution. We apply this to a genome‐wide SNP set from an ideally suited study organism, the intertidal snail Littorina saxatilis, which shows primary divergence between ecotypes associated with different shore habitats. We detect many SNPs with clinal patterns, most of which are consistent with neutrality. Among non‐neutral SNPs, most are located within three large putative inversions differentiating ecotypes. Many non‐neutral SNPs show relatively low levels of differentiation. We discuss potential reasons for this pattern, including loose linkage to selected variants, polygenic adaptation and a component of balancing selection within populations (which may be expected for inversions). Our work is in line with theory predicting a role for inversions in divergence, and emphasizes that genomic regions contributing to divergence may not always be accessible with methods purely based on allele frequency differences. These conclusions call for approaches that take spatial patterns of allele frequency change into account in other systems.